Dynamic pricing and revenue management software for short-term rentals
PriceLabs sells automated pricing and revenue management to vacation rental owners and property managers, built on a Ruby on Rails, Sidekiq and MySQL core with Next.js and React on the front end. A BigQuery-to-Hightouch-to-Customer.io pipeline plus n8n and RAG point to AI-driven lifecycle marketing, matching projects to build autonomous nurturing agents. Hiring tilts to product and sales across Asia and Europe, with Germany flagged as an expansion market.
PriceLabs, founded in 2014 and headquartered in Chicago, Illinois, provides a dynamic pricing and revenue management platform for short-term and vacation rentals, including Airbnb and Vrbo listings, serviced apartments, aparthotels and hotels. Customers range from individual property owners to professional property managers. The product automates nightly rates and stay restrictions using data-driven rules and customizations. It connects to a broad set of booking channels and property management systems. The privately held company employs 201–500 people and recruits across the Philippines, Japan, Taiwan, India, Germany, Italy and Portugal.
PriceLabs runs on Ruby on Rails, Sidekiq, MySQL, TypeScript, React and Next.js, with BigQuery, Hightouch and Customer.io for data and lifecycle messaging, plus Jenkins, Cypress and BrowserStack for testing and delivery.
PriceLabs is headquartered in Chicago, Illinois, and hires in the Philippines, Japan, Taiwan, India, Germany, Italy and Portugal.
Yes. Job posts describe building and training AI agents for lifecycle marketing and designing autonomous nurturing workflows, supported by tools like n8n, RAG, Customer.io and Hightouch.
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PriceLabs's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.